Jonhan Chen AWS Data Pipelines & Systems
Software Development Engineer at Amazon specializing exclusively in large-scale AWS data pipelines, distributed cloud architectures, and high-throughput data processing. MS (4.0 GPA) & BS in Computer Science from the University of Michigan.
const jonhan = {
role: 'SDE @ Amazon',
focus: 'Large-Scale AWS Data Pipelines',
education: ['MS CS (4.0 GPA)', 'BS CS'],
accolades: [
'🏆 MHacks 1st Place (Overall)',
'🥈 Amazon Internal Hackathon 2nd',
'🥉 TreeHacks 3rd (Education)',
'🥈 SpartanHacks 2nd (Innovation)'
]
};
Core Skills & Engineering Toolkit
Proven tools and frameworks used in production environments at Amazon and AWS.
Languages & Frameworks
Cloud & Data Infrastructure
Developer Tools & DevOps
Career Milestones & Academic Excellence
Building scalable systems at Amazon, AWS, and the University of Michigan.
Software Development Engineer
Architected large-scale automation pipelines using AWS MWAA (Airflow) and Glue, scaling data processing across 20+ global marketplaces (1.9B records) and cutting manual developer load by 40%. Modernized infrastructure via Amazon Maestro & AWS CDK with 99.9% reliability.
Software Development Engineer Intern
Automated 10+ Python/Bash scripts and crafted a full-stack data pipeline for AWS infrastructure error monitoring saving 85+ hours annually. Developed dynamic ReactJS server health dashboard with 50+ daily active user interactions.
Master of Science & Bachelor of Science in CS
Achieved 4.0 / 4.0 GPA in MS CS. Coursework: Data Science, Databases, Web Systems, Parallel Computing, Compilers, Security. Accolades: MHacks 1st Place (Overall), TreeHacks 3rd Place (Education Track), SpartanHacks 2nd Place (Innovation Track), Amazon Fashion and Fitness Internal Hackathon 2nd Place.